Lead Data Engineer
providence
Job Description
- Strong knowledge of SQL, Azure SQL, TSQL
- Strong knowledge of database, datawarehouse and data analysis
- Strong knowledge of Databricks, python, spark.
- Working experience in writing scripts on C# or similar languages for API development
- Integrate unstructured data from multiple systems to create a single source of truth
- Develop, monitor, and manage report curation and data modeling
- Creating/implementing/Adopting API Governance and Standards for Data Analytics
- Creating APIs to integrate unstructured data from a variety of systems to create a single source of truth (SailPoint, ServiceNow, Project Online, ADO, Intune, Azure licensing, and other systems of records for single/bi-direction data sets)
- Working on Azure Services like Azure Data Factory, Azure Workbook, Log Analytics, Azure Functions, and other data analytics tools
- Leveraging various Azure Services such as Azure Storage, Logic Apps, Data Factory, Azure SQL SaaS, Runbooks, Automation, Graph API, and various other data tools Developing/maintaining microservice automation (Prisma Cloud/Kubernetes)
- Working experience in data visualization, PowerBI, writing complex SQL queries
What would your day look like?
- Work closely with service teams to determine project engagement and priority, business data reporting and analysis requirements
- Gather Requirements, Data analysis and modelling
- Create scripts to support enhancements
- Work with external vendors on bi-directional API integrations
- Collaborate with DWH and Reporting teams on data analysis and integrity
- Gather requirements, develop, and implement solutions across all endpoint technologies in the Microsoft stack
Who we are looking for?
- Minimum 6-9 years of experience in Azure Data Engineering
- Minimum 6-9 years of experience in BI Development
- 6-9 years of experience working in cloud technologies such as Azure/AWS/Google cloud service
- Experience with Apache Spark and Azure Databricks
- Working knowledge of Microsoft Fabric
- Ability to troubleshoot technical problems, demonstrate problem solving
- Ability to effectively communicate and excellent interpersonal skills
- Experience working in Agile/sprints in a global team setup
- Bachelor’s Degree in Computer Science, Data Analytics, Business Management, or IS